Azure dataset uploader
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Azure dataset uploader
mvolfik/azure-dataset-uploader
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The easiest way to upload datasets to Azure blob storage.
You can access the Azure dataset uploader programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("mvolfik/azure-dataset-uploader").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startAzure dataset uploader API in Python
The Apify API client for Python is the official library that allows you to use Azure dataset uploader API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Developer
Matěj VolfMaintained by Community
Actor metrics
- 1 monthly user
- 1 star
- 100.0% runs succeeded
- 18 hours response time
- Created in Jun 2023
- Modified about 1 month ago
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